OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!
If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.
Requested Article:
Granular Computing in Neural Networks
Scott Dick, Abraham Kandel
Studies in fuzziness and soft computing (2001), pp. 275-305
Closed Access | Times Cited: 20
Scott Dick, Abraham Kandel
Studies in fuzziness and soft computing (2001), pp. 275-305
Closed Access | Times Cited: 20
Showing 20 citing articles:
Granular ball computing classifiers for efficient, scalable and robust learning
Shuyin Xia, Yunsheng Liu, Xin Ding, et al.
Information Sciences (2019) Vol. 483, pp. 136-152
Closed Access | Times Cited: 145
Shuyin Xia, Yunsheng Liu, Xin Ding, et al.
Information Sciences (2019) Vol. 483, pp. 136-152
Closed Access | Times Cited: 145
An Efficient and Adaptive Granular-Ball Generation Method in Classification Problem
Shuyin Xia, Xiaochuan Dai, Guoyin Wang, et al.
IEEE Transactions on Neural Networks and Learning Systems (2022) Vol. 35, Iss. 4, pp. 5319-5331
Open Access | Times Cited: 41
Shuyin Xia, Xiaochuan Dai, Guoyin Wang, et al.
IEEE Transactions on Neural Networks and Learning Systems (2022) Vol. 35, Iss. 4, pp. 5319-5331
Open Access | Times Cited: 41
A study of granular computing in the agenda of growth of artificial neural networks
Mingli Song, Yongbin Wang
Granular Computing (2016) Vol. 1, Iss. 4, pp. 247-257
Open Access | Times Cited: 76
Mingli Song, Yongbin Wang
Granular Computing (2016) Vol. 1, Iss. 4, pp. 247-257
Open Access | Times Cited: 76
Fuzzy rough granular neural networks, fuzzy granules, and classification
Avatharam Ganivada, Soumitra Dutta, Sankar K. Pal
Theoretical Computer Science (2011) Vol. 412, Iss. 42, pp. 5834-5853
Closed Access | Times Cited: 54
Avatharam Ganivada, Soumitra Dutta, Sankar K. Pal
Theoretical Computer Science (2011) Vol. 412, Iss. 42, pp. 5834-5853
Closed Access | Times Cited: 54
Fuzzy rough sets, and a granular neural network for unsupervised feature selection
Avatharam Ganivada, Shubhra Sankar Ray, Sankar K. Pal
Neural Networks (2013) Vol. 48, pp. 91-108
Closed Access | Times Cited: 43
Avatharam Ganivada, Shubhra Sankar Ray, Sankar K. Pal
Neural Networks (2013) Vol. 48, pp. 91-108
Closed Access | Times Cited: 43
Regranulation: A granular algorithm enabling communication between granular worlds
Scott Dick, Adam Schenker, Witold Pedrycz, et al.
Information Sciences (2006) Vol. 177, Iss. 2, pp. 408-435
Closed Access | Times Cited: 53
Scott Dick, Adam Schenker, Witold Pedrycz, et al.
Information Sciences (2006) Vol. 177, Iss. 2, pp. 408-435
Closed Access | Times Cited: 53
A similarity measure for fuzzy rulebases based on linguistic gradients
Heng Li, Scott Dick
Information Sciences (2005) Vol. 176, Iss. 20, pp. 2960-2987
Closed Access | Times Cited: 25
Heng Li, Scott Dick
Information Sciences (2005) Vol. 176, Iss. 20, pp. 2960-2987
Closed Access | Times Cited: 25
A granular neural network: Performance analysis and application to re-granulation
Scott Dick, Andrew F. Tappenden, Curtis Badke, et al.
International Journal of Approximate Reasoning (2013) Vol. 54, Iss. 8, pp. 1149-1167
Open Access | Times Cited: 16
Scott Dick, Andrew F. Tappenden, Curtis Badke, et al.
International Journal of Approximate Reasoning (2013) Vol. 54, Iss. 8, pp. 1149-1167
Open Access | Times Cited: 16
On a Hybridization of Deep Learning and Rough Set Based Granular Computing
Krzysztof Ropiak, Piotr Artiemjew
Algorithms (2020) Vol. 13, Iss. 3, pp. 63-63
Open Access | Times Cited: 12
Krzysztof Ropiak, Piotr Artiemjew
Algorithms (2020) Vol. 13, Iss. 3, pp. 63-63
Open Access | Times Cited: 12
A Novel Fuzzy Rough Granular Neural Network for Classification
Avatharam Ganivada, Sankar K. Pal
International Journal of Computational Intelligence Systems (2011) Vol. 4, Iss. 5, pp. 1042-1051
Open Access | Times Cited: 12
Avatharam Ganivada, Sankar K. Pal
International Journal of Computational Intelligence Systems (2011) Vol. 4, Iss. 5, pp. 1042-1051
Open Access | Times Cited: 12
On a granular functional link network for classification
Francesco Colace, Vincenzo Loia, Witold Pedrycz, et al.
Neurocomputing (2020) Vol. 398, pp. 108-116
Closed Access | Times Cited: 10
Francesco Colace, Vincenzo Loia, Witold Pedrycz, et al.
Neurocomputing (2020) Vol. 398, pp. 108-116
Closed Access | Times Cited: 10
A Novel Fuzzy Rough Granular Neural Network for Classification
Avatharam Ganivada, Sankar K. Pal
International Journal of Computational Intelligence Systems (2011) Vol. 4, Iss. 5, pp. 1042-1042
Open Access | Times Cited: 11
Avatharam Ganivada, Sankar K. Pal
International Journal of Computational Intelligence Systems (2011) Vol. 4, Iss. 5, pp. 1042-1042
Open Access | Times Cited: 11
A generic framework for enhancing the interpretability Of granular computing-based information
George Panoutsos, Mahdi Mahfouf, Gary Mills, et al.
(2010), pp. 19-24
Closed Access | Times Cited: 5
George Panoutsos, Mahdi Mahfouf, Gary Mills, et al.
(2010), pp. 19-24
Closed Access | Times Cited: 5
A Novel Granular Neural Network Architecture
Scott Dick, Andrew F. Tappenden, Curtis Badke, et al.
(2007), pp. 42-47
Closed Access | Times Cited: 3
Scott Dick, Andrew F. Tappenden, Curtis Badke, et al.
(2007), pp. 42-47
Closed Access | Times Cited: 3
Application of granular fuzzy modeling for abstracting labour productivity knowledge bases
Abraham Assefa Tsehayae, Witold Pedrycz, Aminah Robinson Fayek
(2013) Vol. 7, pp. 1096-1101
Closed Access | Times Cited: 2
Abraham Assefa Tsehayae, Witold Pedrycz, Aminah Robinson Fayek
(2013) Vol. 7, pp. 1096-1101
Closed Access | Times Cited: 2
Forecasting Stock Exchange Data using Group Method of Data Handling Neural Network Approach
Marzieh Faridi Masouleh, Ahmad Bagheri
Knowledge Engineering and Data Science (2021) Vol. 4, Iss. 1, pp. 1-1
Open Access | Times Cited: 2
Marzieh Faridi Masouleh, Ahmad Bagheri
Knowledge Engineering and Data Science (2021) Vol. 4, Iss. 1, pp. 1-1
Open Access | Times Cited: 2
Classification Using Fuzzy Rough Granular Neural Networks
Sankar K. Pal, Shubhra Sankar Ray, Avatharam Ganivada
Studies in computational intelligence (2017), pp. 39-76
Closed Access | Times Cited: 1
Sankar K. Pal, Shubhra Sankar Ray, Avatharam Ganivada
Studies in computational intelligence (2017), pp. 39-76
Closed Access | Times Cited: 1
Introduction to Granular Computing, Pattern Recognition and Data Mining
Sankar K. Pal, Shubhra Sankar Ray, Avatharam Ganivada
Studies in computational intelligence (2017), pp. 1-37
Closed Access | Times Cited: 1
Sankar K. Pal, Shubhra Sankar Ray, Avatharam Ganivada
Studies in computational intelligence (2017), pp. 1-37
Closed Access | Times Cited: 1
Re-granulating a fuzzy rulebase
Scott Dick, A. Schencker, Mark Last, et al.
(2002)
Closed Access | Times Cited: 2
Scott Dick, A. Schencker, Mark Last, et al.
(2002)
Closed Access | Times Cited: 2
